eprintid: 19098
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/90/98
datestamp: 2024-06-04 14:11:32
lastmod: 2024-06-04 14:11:32
status_changed: 2024-06-04 14:04:51
type: book
metadata_visibility: show
creators_name: Nallakukkala, S.
creators_name: Lal, B.
title: Machine Learning for Scale Deposition in Oil and Gas Industry
ispublished: pub
note: cited By 1
abstract: This chapter briefly discusses the type of machine learning methods used for scales precipitation in flow assurance. It also discussed the scale formation predictive models. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
date: 2023
publisher: Springer Nature
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174765628&doi=10.1007%2f978-3-031-24231-1_6&partnerID=40&md5=2b0b0f29014cdf6f4a0e111a350d63e0
id_number: 10.1007/978-3-031-24231-1₆
full_text_status: none
publication: Machine Learning and Flow Assurance in Oil and Gas Production
pagerange: 105-118
refereed: TRUE
isbn: 9783031242311; 9783031242304
citation:   Nallakukkala, S. and Lal, B.  (2023) Machine Learning for Scale Deposition in Oil and Gas Industry.     Springer Nature, pp. 105-118.  ISBN 9783031242311; 9783031242304